Chad Hetherington

A lot happened in April for AI in marketing. OpenAI announced GPT-5.5, a $1.9bn software deal was finalized and Stanford published the most comprehensive, independently sourced collection of AI adoption data we’ve seen yet.

Catch up on all of that and more in April’s AI in Marketing Roundup!

OpenAI Unveiled GPT-5.5

There’s always a fanciful phrase to go along with each new GPT release. For GPT-5.5, which came out on April 24th, 2026, OpenAI writes that it’s the “smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer.”

With this new model, there’s an emphasis on practical, real-world tasks that go beyond ChatGPT’s conversational ability, which many are already familiar with. This one seems a pretty significant update, so for the complete breakdown of what’s new and what’s changed, see OpenAI’s post linked above.

But for your convenience, here are some standout takeaways from the release:

  • Most capable model to date: Positioned as OpenAI’s strongest model, optimized for coding, research and data analysis across tools.
  • Built for “agentic” work: Designed to complete end-to-end tasks, including finding information, using tools, verifying outputs and delivering results.
  • Major coding improvements: OpenAI’s most advanced agentic coding model, capable of handling complex, multi-step engineering workflows.
  • Greater persistence and autonomy: Better at staying on task, managing long-running work and following problems through to completion.

There’s a lot more where those updates came from, so be sure to check out their post if you’re interested in ChatGPT’s newest capabilities!

Adobe Completed Its Semrush Acquisition

Back in November 2025, Adobe announced its plans to acquire the popular brand visibility platform Semrush for $1.9B. Well, the deal is done as of April 28th, 2026. 

With the acquisition finalized, Adobe is doubling down on helping marketers understand and optimize how their brands appear across both traditional search and AI-driven environments. The company is positioning this as a core part of its enterprise offering, combining Semrush’s SEO and generative engine optimization capabilities with Adobe’s broader experience stack to give businesses a more unified view of brand visibility across the web, large language models and owned channels.

If you’re a frequent Semrush user, you’ll notice that things look a little different next time you log in. Your dashboards got a facelift to bring everything into line with Adobe’s style. There’s no mention of additional features, pricing changes or anything like that as of yet, though — so who knows what else might change in the coming months.

Stanford Released the Largest Collection of AI Adoption Data Yet

The AI Index 2026 Annual Report from Stanford came out this month. It’s the institution’s ninth installment and “the most comprehensive, independently sourced picture of AI’s trajectory that is available” to date, according to Stanford itself.

They aren’t kidding. The report is absolutely massive, coming in at 425 pages across nine chapters. For a PDF report, that feels like In Search of Lost Time levels of heft — but it’s chock full of interesting and important information about the current state and forecasted future of artificial intelligence in our lives, gathered from a variety of reputable sources.

There is far, far too much information to cover in a short recap post such as this, but if this topic interests you, I highly recommend checking out the full report; it’s completely free and ungated. Even so, here are a couple of marketing-related points that it touches on:

  • AI is delivering productivity gains across sectors, but especially in marketing, increasing output by as much as 50%. (Page 174).
  • Marketing and sales are the most likely business functions to report that AI has increased organizational revenue by as much as 5%. (Page 196, Figure 4.3.4).

An Environmentally Friendly Shoe Brand Turned AI Compute Provider

Perhaps the strangest thing to happen in April was Allbirds’ announcement of a complete pivot away from footwear to AI compute infrastructure. The viral news left many scratching their heads and questioning the state of the market, and also generated plenty of outrage.

The shoe company, built on a reputation of being environmentally friendly, has plans to sell the brand to American Exchange Group, effectively exiting its original retail business and repositioning itself as an AI infrastructure company called NewBird AI, funded by a $50M convertible facility. So, nothing to do with footwear, and not necessarily environmentally conscious. Many are calling it silly, desperate and strange. I agree that it’s totally weird and in some ways a bit disheartening — also, just bizarre enough to get a mention here, even without any actionable takeaways or insights.

The UN Warns of an AI-Accelerated ‘Information Integrity’ Crisis

In a new brief, the UN raised a concern about how AI is rapidly accelerating the spread of misinformation, and how the digital advertising ecosystem is unintentionally helping fund and amplify it. Because generative AI can produce convincing content at scale — and ad platforms are optimized for engagement — misleading or harmful content can outperform and even out-earn credible information.

Throughout the brief, the UN calls on advertisers, platforms and AI developers to take more responsibility by improving transparency, avoiding monetization of harmful content and supporting more trustworthy media ecosystems.

I think it’s a really important conversation to have — one that governing bodies are perhaps not having enough just yet — as AI’s presence in our personal and professional lives continues to grow.

Wrapping Up

It’s fair to say that April offered a little bit of everything: innovations, acquisitions, a new collection of AI adoption data to digest, an important conversation around ethical AI and advertising and even some bizarreness with the Allbirds news… for good measure. Between it all, it’s clear that this space isn’t slowing down, while, at the same time, conversations around ethics, trust and long-term implications are becoming harder to ignore.

If this month is any indication, we’re heading into a decisive stretch where accountability needs to catch up to and then maintain pace with AI innovation.

Note: This article was originally published on contentmarketing.ai.